ESANN 2025 - Proceedings

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Network Science Meets AI
Network Science Meets AI: A Converging Frontier
M. Zignani, F.D. Malliaros, I. Scholtes, R. Interdonato, M. Dileo .......................... p. 1
Learning of Probability Estimates for System and Network Reliability Analysis
by Means of Matrix Learning Vector Quantization
M. Lange-Geisler, K. Dohmen, T. Villmann .......................................................... p. 11
Enhancing neural link predictors for temporal knowledge graphs with temporal
regularisers
M. Dileo, P. Minervini, M. Zignani, S. Gaito ........................................................ p. 17
Hyperbolic representation learning in multi-layer tissue networks
D. Pogány, P. Antal ............................................................................................... p. 23
Topology-Aware Activation Functions in Neural Networks
P. Snopov, O. Musin .............................................................................................. p. 29
Streaming Continual Learning: fast adaptation and knowledge
consolidation in dynamic environment
Don't drift away: Advances and Applications of Streaming and Continual
Learning
A. Cossu, D. Bacciu, A. Bernardo, E. Della Valle, A. Gepperth, F. Giannini,
B. Hammer, G. Ziffer ............................................................................................. p. 35
Compression-based $k$NN for Class Incremental Continual Learning
V. Vaquet, J. Vaquet, F. Hinder, B. Hammer ........................................................ p. 45
Stability of State and Costate Dynamics in Continuous Time Recurrent Neural
Networks
A. Betti, M. Gori, S. Melacci .................................................................................. p. 51
Towards Streaming Land Use Classification of Images with Temporal
Distribution Shifts
L. Iovine, G. Ziffer, A. Proia, E. Della Valle ......................................................... p. 57
Linear Domain Adaptation for Robustness to Electrode Shifts
R. Liu, B. Paassen .................................................................................................. p. 63
Continual Unlearning through Memory Suppression
A. Krawczyk, A. Gepperth ...................................................................................... p. 69
v
Reducing the stability gap for continual learning at the edge with class balancing
W. Wei, M. Hutsebaut-Buysse, T. De Schepper, K. Mets ....................................... p. 75
Replay-free Online Continual Learning with Self-Supervised MultiPatches
G. Cignoni, A. Cossu, A. Gómez Villa, J. van de Weijer, A. Carta ........................ p. 81
Reward Incremental Learning
Y. Denker, A. Gepperth .......................................................................................... p. 87
Continual Contrastive Learning on Tabular Data with Out of Distribution
A. ginanjar, X. Li, P. Singh, W. Hua ...................................................................... p. 93
Unsupervised learning and dimensionality reduction
Generative Kernel Spectral Clustering
S. Achten, D. Winant, J. Suykens ........................................................................... p. 99
Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence
across neighborhoods as a pseudo-distance?
J. Lee, P. Lambert, E. Couplet, P. Merveille, L. Journaux, D. Mulders,
C. de Bodt, M. Verleysen ..................................................................................... p. 105
Adaptive Locally Aligned Ant Technique for Manifold Detection and Denoising
F. Contreras, K. Bunte, R. Peletier ...................................................................... p. 111
Explaining Outliers using Isolation Forest and Shapley Interactions
R. Visser, F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer .................. p. 117
Do not get lost in projection: finding the right distance for meaningful UMAP
embeddings
E. Blanco Mallo, V. Bolón-Canedo, B. Remeseiro .............................................. p. 123
Image processing and deep learning
Machine Learning on Smartphone-Captured Diffraction Data
U. Seiffert, A.S. Jadhav, A. Backhaus .................................................................. p. 129
Exoplanet detection in angular and spectral differential imaging with an
accelerated proximal gradient algorithm
N. Mil-Homens Cavaco, L. Jacques, P.-A. Absil ................................................. p. 135
Deciphering Barlow Twins: Reduncy Reduction is Insufficient and
Normalization is Key
H.-O. Hansen, M. Jahrens, T. Martinetz ............................................................. p. 141
vi
Benchmarking Data Augmentation for Contrastive Learning in Static Sign
Language Recognition
A. Basso Madjoukeng, J. Fink, P. Poitier, B. Kenmogne Edith, B. Frénay ......... p. 147
Enhancing Image Classification in Quantum Computing: A Study on
Preprocessing Techniques and Qubit Limitations
H.A. Barbosa, G.A. Pires, J.A. Alves, L. Torres, J. Arias García,
F. Gualberto Ferreira Coelho ............................................................................. p. 153
JEPA for RL: Investigating Joint-Embedding Predictive Architectures for
Reinforcement Learning
T. Kenneweg, P. Kenneweg, B. Hammer ............................................................. p. 159
A variational framework for local learning with probabilistic latent
representations
C. Teguemne Fokam, K. Khan Nazeer, C. Mayr, A. Subramoney, D. Kappel ..... p. 165
Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks
R. Ghyselinck, V. Delchevalerie, B. Frénay, B. Dumas ....................................... p. 171
Improving Robustness of Defect Detection models using Adversarial-based
Data Augmentation
D. García, A. García, D. Garcia-Perez, I. Diaz-Blanco ..................................... p. 177
Multi-View Graph Neural Network for Image Segmentation : Intermediate vs
Late Fusion
E. Karam, N. Jrad, P. Coupeau, D. Tobiano, J.-B. Fasquel, F. Abdallah ........... p. 183
Shallow convolution and attention-based models for micro-expression
recognition
T. Verlekar, P. Upadhya ...................................................................................... p. 189
Solar Panel Segmentation on Aerial Images using Color and Elevation
Information
G. Luimstra, K. Bunte .......................................................................................... p. 195
Enhancing Computer Vision with Knowledge: a Rummikub Case Study
S. Vandevelde, L. Mertens, S. Lauwers, J. Vennekens ......................................... p. 201
Leveraging Segmentation Maps to improve Skin Lesion Classification
S. Bonechi, P. Andreini, F. Romagnoli ................................................................ p. 207
Semantic Segmentation for Waterbody Extraction Using Superpixels and
Convolutional Neural Networks Classifier
S. Iratni, F. Attal, Y. Amirat, A. chibani, M. Diaf ................................................ p. 213
vii
A feedback-loop approach for galaxy physical properties estimation
D. Zago, G. Bonetta, R. Cancelliere, M. Gai ....................................................... p. 219
Generalized Stochastic Pooling
F. Landolfi, D. Bacciu ......................................................................................... p. 225
O-Net: a Brain Tumor segmentation architecture based on U-Net using
alternated Pooling
O. El Barraj, A. Hage Chehade, J.-M. Marion, M. Oueidat, P. Chauvet,
N. Abdallah .......................................................................................................... p. 231
Hierarchical Residuals Exploit Brain-Inspired Compositionality
F.M. López, J. Triesch ......................................................................................... p. 237
Comparison of convolutional neural networks approaches applied to the
diagnosis of Alzheimer's disease
L. Coelho, L. Scapinello Aquino da Silva, L.A. de Geus, V. Cocco Mariani ....... p. 243
INAM: Image-Scale Neural Additive Models
J. Hüls, J.-O. Perschewski, S. Stober ................................................................... p. 249
Foundation and Generative Models for Graphs
Foundation and Generative Models for Graphs
D. Bacciu, F. Errica, S. Moro, L. Pasa, D. Rigoni, D. Zambon .......................... p. 255
D4: Distance Diffusion for a Truly Equivariant Molecular Design
S. Cognolato, D. Rigoni, M. Ballarini, L. Serafini, S. Moro, A. Sperduti ............ p. 265
Encoding Graph Topology with Randomized Ising Models
D. Tortorella, A. Brau, A. Micheli ....................................................................... p. 271
Robustness in Protein-Protein Interaction Networks: A Link Prediction
Approach
A. Dipalma, D. Tortorella, A. Micheli ................................................................. p. 277
3-WL GNNs for Metric Learning on Graphs
A. Moscatelli, M. Berar, P. Héroux, F. Yger, S. Adam ........................................ p. 283
Towards Efficient Molecular Property Optimization with Graph Energy Based
Models
L. Miglior, L. Simone, M. Podda, D. Bacciu ....................................................... p. 289
viii
Machine learning and applied Artificial Intelligence in cognitive
sciences and psychology
Machine Learning and applied Artificial Intelligence in cognitive sciences and
pyschology: a tutorial
C. König, A. Vellido ............................................................................................. p. 295
Introducing Intrinsic Motivation in Elastic Decision Transformers
L. Guiducci, G.M. Dimitri, G. Palma, A. Rizzo ................................................... p. 305
Direct versus intermediate multi-task transfer learning for dementia detection
from unstructured conversations
D. Kumpik, Y. Ben-Shlomo, E. Coulthard, A. Hepburn, R. Santos-Rodriguez .... p. 311
The Regulatory Character of Boredom in AI - Towards a Self-Regulating
System based on Spiking Neural Networks
P. Schoefer, J. Danckert, P. Stadler, M. Bogdan ................................................. p. 317
Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG
Signals
L.A. Moctezuma Pascual, Y. Suzuki, J. Furuki, M. Molinas, T. Abe .................... p. 323
Multimodal Explainable Automated Diagnosis of Autistic Spectrum Disorder
M. Ben Yahia, M. Garouani, J. Aligon ................................................................ p. 329
Altered emotion recognition from psychiatric patient profiles using Machine
Learning
P.J. Copado, M.I. Cardenas, A. Vellido, C. König .............................................. p. 335
Screening Dyslexia for English: Impact of Heterogeneity in Demographic
Variables
E. Romero, L. Rello ............................................................................................. p. 341
Explainable deep learning reveals a behavioral strategy underlying human
decisions in a spatial navigation task
Y. Marquise .......................................................................................................... p. 347
Reinforcement learning
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies
in Offline Reinforcement Learning
B.B. Ormancı, P. Swazinna, S. Udluft, T. Runkler ............................................... p. 353
Robust Evolutionary Multi-Objective Neural Architecture Search for
Reinforcement learning (EMNAS-RL)
N. Acharya Adde, A. Gianzina, H. Gottschalk, A. Ebert ...................................... p. 359
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Is Q-learning an Ill-posed Problem?
P. Wissmann, D. Hein, S. Udluft, T. Runkler ....................................................... p. 365
Reinforcement learning-based control system for biogas plants in laboratory
scale
A. Meola, S. Weinrich, O. Kiefner, F. Delory ...................................................... p. 371
Data-Density guided Reinforcement Learning
L. Lantz, M. Schieder, M. Tokic ........................................................................... p. 377
Classification and statistical learning
Reconciling Grokking with Statistical Learning Theory
L. Oneto, S. Ridella, A. Coraddu, D. Anguita ...................................................... p. 383
Coherence-based Sample Selection for Class-incremental Learning
A. Daou, J.-B. Pothin, P. Honeine, A. Bensrhair ................................................. p. 389
Hierarchical decomposition through "Mental Images" evaluation
G. Coda, M. De Gregorio, A. Sorgente, P. Vanacore .......................................... p. 395
Investigating the Impact of Imbalanced Medical Data on the Performance of
Self-Supervised Learning Approaches
M. Laufer, F. Brokmann, D. Mairhöfer, E. Barth, T. Martinetz .......................... p. 401
Towards Learning Vector Quantization in the Setting of Homomorphic
Encryption
T. Davies, R. Schubert, M. Lange-Geisler, K. Dohmen, T. Villmann .................. p. 407
Integrating Class Relation Knowledge in Probabilistic Learning Vector
Quantization
M. Kaden, R. Schubert, T. Geweniger, W. Hermann, T. Villmann ...................... p. 413
Mitigating the Bias in Data for Fairness Using an Advanced Generalized
Learning Vector Quantization Approach -- FA(IR)2MA-GLVQ
M. Kaden, A. Engelsberger, R. Schubert, S. Lövdal, E. van den Brandhof,
M. Biehl, T. Villmann ........................................................................................... p. 419
Multiclass Adaptive Subspace Learning
P. Preinesberger, M. Münch, F.-M. Schleif ......................................................... p. 425
Ranking the scores of algorithms with confidence
A. Foucart, A. Elskens, C. Decaestecker ............................................................. p. 431
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The Role of the Learning Rate in Layered Neural Networks with ReLU
Activation Function
O. Citton, F. Richert, M. Biehl............................................................................. p. 437
Growth strategies for arbitrary DAG neural architectures
S. Douka, V. Verbockhaven, T. Rudkiewicz, S. Rivaud, F.P. Landes,
S. Chevallier, G. Charpiat ................................................................................... p. 443
Making Convolutional Neural Networks Energy-Efficient: An Introduction
N. Draguet, B. Frénay ......................................................................................... p. 449
Membership Inference Attack in Random Forests
F. Akbarian, A. Aminifar ..................................................................................... p. 455
Proactive Privacy Risk Assessment for Android Applications: A Machine
Learning Based-Approach
N. Doggaz, A. Trad, H. Kaffel Ben Ayed ............................................................. p. 461
A new approach to multilayer SVMs
L. Belanche .......................................................................................................... p. 467
Evolutionary Fault Localization Based on the Diversity of Suspiciousness
Values
W. Ferreira, P. S. Leitao-Junior, D. Silva-Junior, R. Harrison .......................... p. 473
Time series
A Model of Memristive Nanowire Neuron for Recurrent Neural Networks
V. Pistolesi, A. Ceni, G. Milano, C. Ricciardi, C. Gallicchio .............................. p. 479
Performance monitoring and wear comprehension through Neural Network
T. Binet, H. Azzag, M. Lebbah, J. Lacaille .......................................................... p. 485
On Domain Generalization for Human Activity Recognition with Mix-Based
Methods
O. Napoli, E. Borin .............................................................................................. p. 491
Investigating four deep learning approaches as candidates for unified models in
time series forecasting and event prediction: application in anesthesia training
Q. Victor, I. Clavier, H. Boisaubert, F. Picarougne, C. Lejus-Bourdeau,
C. Sinoquet .......................................................................................................... p. 497
Generate Polyphonic Music with Multivariate Masked Autoregressive Flow
M. Sirgiovanni, D. Castellana ............................................................................. p. 503
xi
Quantum, Quantum Inspired and Hybrid Machine Learning
Enhancing Machine Learning with Quantum Methods
M.L. Hickmann, M. Lange, H.-M. Rieser ............................................................ p. 509
Quantum Annealing based Feature Selection
D. Pranjic, B.C. Mummaneni, C. Tutschku ......................................................... p. 519
Encoding hyperspectral data with low-bond dimension quantum tensor networks
F. Fischbach, H.-M. Rieser, O. Sefrin ................................................................. p. 525
CompactifAI: Extreme Compression of Large Language Models using
Quantum-Inspired Tensor Networks
S. Jahromi, U. Kurt, S. Singh, D. Montero, B. Aizpurua Altuna,
R. Orús Lacort ..................................................................................................... p. 531
Quantum Tensor Network Learning with DMRG
G. Jäger, M.B. Plenio, H.-M. Rieser ................................................................... p. 537
Expressivity vs. Generalization in Quantum Kernel Methods
M. Gross, M. Lange, B. Bujnowski, H.-M. Rieser ............................................... p. 543
Domain adaptation and federated learning
RAM: Retrieval Augmented Modelling for Tabular In-Context Few-Shot
Domain Adaptation
O. Kostromin, F. Kossak, M. Zwick ..................................................................... p. 549
Adversarial Attacks for Drift Detection
F. Hinder, V. Vaquet, B. Hammer ....................................................................... p. 555
Conceptualizing Concept Drift
I. Roberts, F. Hinder, V. Vaquet, A. Schulz, B. Hammer ..................................... p. 561
Resource-Aware Cooperation in Federated Learning
M. Röder, F. Geiger, F.-M. Schleif ...................................................................... p. 567
SecureBFL: a Blockchain-enhanced federated learning architecture with MPC
T. Vansnick, L. Collier, S. Mahmoudi .................................................................. p. 573
Explainable AI and representation learning
Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for
Neuro-Symbolic Learning
B.P. Bhuyan, A. Ait Saadi, A. Ramdane-Cherif ................................................... p. 579
xii
Implicit Neural Decision Trees
F. Spinnato, A. Mastropietro, R. Guidotti............................................................ p. 585
Project-Specific Code Summarization with Meta-Learning and Explainability
Techniques
Q.-H. Nguyen, H.-P. Le, B. Le ............................................................................. p. 591
Trajectory-Embedded Matryoshka Representation Learning for Enhanced
Similarity Analysis
F. Pennino, A. Gurioli, M. Gabbrielli ................................................................. p. 597
Encoding Matters: Impact of Categorical Variable Encoding on Performance
and Bias
D. Kopp, B. Maudet, L. Sun-Hosoya, K. Bennett ................................................. p. 603
Explainable ensemble learning for structural damage prediction under seismic
events
M. Baldassini, P. Foglia, B. Lazzerini, F. Pistolesi, C.A. Prete .......................... p. 609
Generating Synthetic Spectral Data using Conditional DDPM
F. Kubiczek, S. Patzke, J. Thiem .......................................................................... p. 615
Interpretable machine learning for the diagnosis of hyperkinetic movement
disorders
E. van den Brandhof, J.W.J. Elting, I. Tuitert, A.M.M. van der Stouwe,
J.R. Dalenberg, M.A.J. Tijssen, M. Biehl............................................................. p. 621
Natural language processing
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code
Search
A. Diera, L. Galke, A. Scherp .............................................................................. p. 627
Open-Vocabulary Robotic Object Manipulation using Foundation Models
S. Griebenow, O. Özdemir, C. Weber, S. Wermter .............................................. p. 633
Improving Privacy Benefits of Redaction
V. Gusain, D. Leith .............................................................................................. p. 639
Evaluating Text Representations Techniques for Hypernymy Detection: The
Case of Arabic Language
R. Alharbi, H. Al-Muhtaseb ................................................................................. p. 645
Early Prediction of Dynamic Sparsity in Large Language Models
R. Sedghi, A.K. Pal, A. Subramoney, D. Kappel .................................................. p. 651
xiii
Unlocking Structured Thinking in Language Models with Cognitive Prompting
O. Kramer, J. Baumann ....................................................................................... p. 657
Comparing Modern LLM Quantization Methods Across Natural Languages
M. Iakovenko, S. Dupont...................................................................................... p. 663
Evaluating Concept Discovery Methods for Sensitive Attributes in Language
Models
S. Schröder, A. Schulz, B. Hammer ..................................................................... p. 669
Dynamical systems and recurrent learning
Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural
Network Modules
V. De Caro, A. Ceni, D. Bacciu, C. Gallicchio .................................................... p. 675
Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators
M. Straat, T. Markmann, B. Hammer .................................................................. p. 681
Predictive Coding Dynamics Enhance Model-Brain Similarity
M. Guo, M. Samjatin, B. Choksi, S. Sadiya, R. Cichy, G. Roig ........................... p. 687
Efficient Training of Neural SDEs Using Stochastic Optimal Control
R. Daems, M. Opper, G. Crevecoeur, T. Birdal................................................... p. 693
The Reinforced Liquid State Machine: A New Training Architecture for
Spiking Neural Networks
D. Krenzer, M. Bogdan ........................................................................................ p. 699
Motif-augmented classical music synthesis via recurrent neural networks
A. Marinescu ........................................................................................................ p. 705
Analysing the impact of brain-inspired predictive coding dynamics through
gradient based explainability methods
B. Choksi, G.P. Zalaffi, G.M. Dimitri, G. Roig .................................................... p. 711
A Pipeline based on Differential Evolution for Tuning Parameters of
Synaptic Dynamics Models
F. Beltran-Velandia, N. Scherf, M. Bogdan ......................................................... p. 717
Influence of function nodes on automated generation of routing policies with
genetic programming
M. Đurasević, F.J. Gil Gala ................................................................................ p. 723
xiv
Towards metacognitive agents: integrating confidence in sequential
decision-making
B. Pesquet, F. Alexandre ..................................................................................... p. 729
Exploring Model Architectures for Real-Time Lung Sound Event Detection
M. Jacobs, L. Vuegen, T. Verresen, M. Schouterden, D. Ruttens,
P. Karsmakers ..................................................................................................... p. 735
Inferring Underwater Topography with Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, S. Oladyshkin, W. Nowak, S. Otte ............ p. 741
Artificial Surrogate Model for Computational Fluid Dynamics
A. Alfaham, S. Mercelis ....................................................................................... p. 747
Author index ................................................................................................ p. 753
Committees ................................................................................................... p. 757